Add dataset card for SALT

This PR adds a dataset card for the SALT project, including the task category, links to the datasets and a description of what SALT is.

README.md

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+---
+task_categories:
+- image-segmentation
+license: mit
+---
+
+This repository contains the medical imaging datasets used in [SALT: Parameter-Efficient Fine-Tuning via Singular Value Adaptation with Low-Rank Transformation](https://github.com/YourUsername/SALT). SALT is a novel Parameter-Efficient Fine-Tuning (PEFT) method designed to adapt large-scale foundation models—especially **Segment Anything Model (SAM)**—to domain-specific tasks such as **medical image segmentation**.
+
+The datasets are:
+
+- [ROSE](https://huggingface.co/datasets/pythn/ROSE) (Retinal OCT Angiography)
+- [ARCADE](https://huggingface.co/datasets/pythn/ARCADE) (Coronary Artery Segmentation)
+- [DRIVE](https://huggingface.co/datasets/pythn/drive) (Retinal Vessel Segmentation)
+- [DIAS](https://huggingface.co/datasets/pythn/DIAS) (Dynamic Digital Subtraction Angiography)
+- [Xray-Angio](https://huggingface.co/datasets/pythn/DB) (Occluded Vessel Segmentation)